Objectives: Our aims were to study the pattern and extend of monoallelic expression and genomic imprinting across the genome in the human brain and to identify their relation to autism risk.
Methods: We screened 30 postmortem brain tissues (prefrontal cortex) from autistic cases and normal controls (obtained from the Autism Tissue Program) for monoallelic expression. We used Single Nucleotide Polymorphism (SNP) arrays to measure the allelic expression across the genome. We were able to identify occurrences of monoallelic expression by comparing the SNP genotyping results in genomic DNA and cDNA of the same individual. We developed an algorithm to identify segments of the genome that show a significant deviation from biallelic expression. We used deep sequencing and Sanger sequencing for validation. To identify the parental origin of the silence alleles, we genotyped or used available SNP data from parents of four different autistic subjects.
Results: We identified many regions across the genome that show significant deviation from biallelic expression in most brain samples. Among them are known imprinted regions. Using this data we were able to refine the boundaries of known imprinted regions and to identify abnormal imprinting in autistic cases. Many of the regions include coding and noncoding genes that are new imprinted candidates and should be further studied.
Conclusions: The results of this study may shed new light on current views on the mechanisms of brain development and brain diseases. Monoallelic expression of multiple genes in the brain could be essential for proper brain development and function. However, having only one functional allele for some genes – some of which have been identified in this study – may explain the sensitivity of the brain to haploinsufficiency, as expression from only one copy disables the possibility of compensation in the case of deleterious genetic mutations or epigenetic aberrations.
See more of: Genetics
See more of: Biological Mechanisms